
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 24 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 t)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (- t_2 (sqrt y)) (- t_3 (sqrt x)))))
(if (<= t_4 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 1.0002)
(+
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_3) (sqrt x))
(- t_1 (sqrt t)))
(-
(+
(+ 1.0 t_2)
(+ (/ 1.0 (+ t_1 (sqrt t))) (/ 1.0 (+ (sqrt (+ 1.0 z)) (sqrt z)))))
(+ (sqrt x) (sqrt y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = (t_2 - sqrt(y)) + (t_3 - sqrt(x));
double tmp;
if (t_4 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 1.0002) {
tmp = (fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_3) - sqrt(x)) + (t_1 - sqrt(t));
} else {
tmp = ((1.0 + t_2) + ((1.0 / (t_1 + sqrt(t))) + (1.0 / (sqrt((1.0 + z)) + sqrt(z))))) - (sqrt(x) + sqrt(y));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + t)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) tmp = 0.0 if (t_4 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 1.0002) tmp = Float64(Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_3) - sqrt(x)) + Float64(t_1 - sqrt(t))); else tmp = Float64(Float64(Float64(1.0 + t_2) + Float64(Float64(1.0 / Float64(t_1 + sqrt(t))) + Float64(1.0 / Float64(sqrt(Float64(1.0 + z)) + sqrt(z))))) - Float64(sqrt(x) + sqrt(y))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 1.0002], N[(N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + t$95$2), $MachinePrecision] + N[(N[(1.0 / N[(t$95$1 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 1.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_3\right) - \sqrt{x}\right) + \left(t\_1 - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(1 + t\_2\right) + \left(\frac{1}{t\_1 + \sqrt{t}} + \frac{1}{\sqrt{1 + z} + \sqrt{z}}\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 5.00000000000000024e-5Initial program 75.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.9
Applied rewrites4.9%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites12.2%
if 5.00000000000000024e-5 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.0002Initial program 96.3%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.5
Applied rewrites28.5%
Taylor expanded in y around inf
Applied rewrites31.9%
if 1.0002 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 98.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6499.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.5
Applied rewrites99.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6499.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.6
Applied rewrites99.6%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites98.0%
Final simplification43.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (+ (- t_3 (sqrt y)) (- t_4 (sqrt x))) t_2)))
(if (<= t_5 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_5 1.0001)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_4) (sqrt x))
(if (<= t_5 2.0008)
(+ t_4 (- (+ t_3 (/ 1.0 (+ t_1 (sqrt z)))) (+ (sqrt x) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) t_2)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt((x + 1.0));
double t_5 = ((t_3 - sqrt(y)) + (t_4 - sqrt(x))) + t_2;
double tmp;
if (t_5 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_5 <= 1.0001) {
tmp = fma(0.5, sqrt((1.0 / y)), t_4) - sqrt(x);
} else if (t_5 <= 2.0008) {
tmp = t_4 + ((t_3 + (1.0 / (t_1 + sqrt(z)))) - (sqrt(x) + sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + t_2);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(1.0 + y)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_4 - sqrt(x))) + t_2) tmp = 0.0 if (t_5 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_5 <= 1.0001) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_4) - sqrt(x)); elseif (t_5 <= 2.0008) tmp = Float64(t_4 + Float64(Float64(t_3 + Float64(1.0 / Float64(t_1 + sqrt(z)))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + t_2)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$5, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$5, 1.0001], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0008], N[(t$95$4 + N[(N[(t$95$3 + N[(1.0 / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_4 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_5 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_4\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2.0008:\\
\;\;\;\;t\_4 + \left(\left(t\_3 + \frac{1}{t\_1 + \sqrt{z}}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + t\_2\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.6
Applied rewrites4.6%
Taylor expanded in z around inf
Applied rewrites25.9%
Taylor expanded in y around inf
Applied rewrites25.9%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0007999999999999Initial program 97.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6498.1
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.1
Applied rewrites98.1%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.2
Applied rewrites25.2%
if 2.0007999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6495.7
Applied rewrites95.7%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6493.4
Applied rewrites93.4%
Final simplification34.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) t_1)))
(if (<= t_4 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 1.0001)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_3) (sqrt x))
(if (<= t_4 2.0005)
(+ t_3 (- (fma 0.5 (sqrt (/ 1.0 z)) t_2) (+ (sqrt x) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + t_1;
double tmp;
if (t_4 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 1.0001) {
tmp = fma(0.5, sqrt((1.0 / y)), t_3) - sqrt(x);
} else if (t_4 <= 2.0005) {
tmp = t_3 + (fma(0.5, sqrt((1.0 / z)), t_2) - (sqrt(x) + sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + t_1);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + t_1) tmp = 0.0 if (t_4 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 1.0001) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_3) - sqrt(x)); elseif (t_4 <= 2.0005) tmp = Float64(t_3 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_2) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + t_1)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$4, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0005], N[(t$95$3 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + t\_1\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.0005:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + t\_1\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.6
Applied rewrites4.6%
Taylor expanded in z around inf
Applied rewrites25.9%
Taylor expanded in y around inf
Applied rewrites25.9%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00050000000000017Initial program 97.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.2
Applied rewrites28.2%
Taylor expanded in z around inf
Applied rewrites21.0%
if 2.00050000000000017 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6495.7
Applied rewrites95.7%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6493.4
Applied rewrites93.4%
Final simplification32.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_4 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 1.0001)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_3) (sqrt x))
(if (<= t_4 2.0005)
(+ t_3 (- (fma 0.5 (sqrt (/ 1.0 z)) t_2) (+ (sqrt x) (sqrt y))))
(+ (+ t_1 t_2) (- t_3 (+ (sqrt x) (+ (sqrt y) (sqrt z))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 1.0001) {
tmp = fma(0.5, sqrt((1.0 / y)), t_3) - sqrt(x);
} else if (t_4 <= 2.0005) {
tmp = t_3 + (fma(0.5, sqrt((1.0 / z)), t_2) - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_1 + t_2) + (t_3 - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 1.0001) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_3) - sqrt(x)); elseif (t_4 <= 2.0005) tmp = Float64(t_3 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_2) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_1 + t_2) + Float64(t_3 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0005], N[(t$95$3 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + t$95$2), $MachinePrecision] + N[(t$95$3 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.0005:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + t\_2\right) + \left(t\_3 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.6
Applied rewrites4.6%
Taylor expanded in z around inf
Applied rewrites25.9%
Taylor expanded in y around inf
Applied rewrites25.9%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00050000000000017Initial program 97.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.2
Applied rewrites28.2%
Taylor expanded in z around inf
Applied rewrites21.0%
if 2.00050000000000017 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6456.1
Applied rewrites56.1%
Final simplification27.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_4 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 1.0001)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_3) (sqrt x))
(if (<= t_4 2.0005)
(+ t_3 (- (fma 0.5 (sqrt (/ 1.0 z)) t_2) (+ (sqrt x) (sqrt y))))
(+ 1.0 (- (+ t_1 t_2) (+ (sqrt x) (+ (sqrt y) (sqrt z))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 1.0001) {
tmp = fma(0.5, sqrt((1.0 / y)), t_3) - sqrt(x);
} else if (t_4 <= 2.0005) {
tmp = t_3 + (fma(0.5, sqrt((1.0 / z)), t_2) - (sqrt(x) + sqrt(y)));
} else {
tmp = 1.0 + ((t_1 + t_2) - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 1.0001) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_3) - sqrt(x)); elseif (t_4 <= 2.0005) tmp = Float64(t_3 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_2) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(1.0 + Float64(Float64(t_1 + t_2) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0005], N[(t$95$3 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.0005:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_1 + t\_2\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.6
Applied rewrites4.6%
Taylor expanded in z around inf
Applied rewrites25.9%
Taylor expanded in y around inf
Applied rewrites25.9%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00050000000000017Initial program 97.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.2
Applied rewrites28.2%
Taylor expanded in z around inf
Applied rewrites21.0%
if 2.00050000000000017 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6456.1
Applied rewrites56.1%
Taylor expanded in x around 0
Applied rewrites55.9%
Final simplification27.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_4 (+ (+ (- t_2 (sqrt y)) t_3) (- t_1 (sqrt z)))))
(if (<= t_4 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 2.0)
(fma (- (+ 1.0 y) y) (/ 1.0 (+ (sqrt y) t_2)) t_3)
(+ 1.0 (- (+ t_1 t_2) (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0)) - sqrt(x);
double t_4 = ((t_2 - sqrt(y)) + t_3) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 2.0) {
tmp = fma(((1.0 + y) - y), (1.0 / (sqrt(y) + t_2)), t_3);
} else {
tmp = 1.0 + ((t_1 + t_2) - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + t_3) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 2.0) tmp = fma(Float64(Float64(1.0 + y) - y), Float64(1.0 / Float64(sqrt(y) + t_2)), t_3); else tmp = Float64(1.0 + Float64(Float64(t_1 + t_2) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(1.0 + N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1} - \sqrt{x}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + t\_3\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\mathsf{fma}\left(\left(1 + y\right) - y, \frac{1}{\sqrt{y} + t\_2}, t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_1 + t\_2\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.9
Applied rewrites15.9%
Taylor expanded in z around inf
Applied rewrites24.2%
Applied rewrites35.8%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6455.4
Applied rewrites55.4%
Taylor expanded in x around 0
Applied rewrites52.6%
Final simplification36.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (- t_2 (sqrt y)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (+ t_3 (- t_4 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_5 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_5 2.0)
(- (+ t_3 t_4) (sqrt x))
(+ 1.0 (- (+ t_1 t_2) (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = t_2 - sqrt(y);
double t_4 = sqrt((x + 1.0));
double t_5 = (t_3 + (t_4 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_5 <= 2.0) {
tmp = (t_3 + t_4) - sqrt(x);
} else {
tmp = 1.0 + ((t_1 + t_2) - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = Float64(t_2 - sqrt(y)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(t_3 + Float64(t_4 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_5 <= 2.0) tmp = Float64(Float64(t_3 + t_4) - sqrt(x)); else tmp = Float64(1.0 + Float64(Float64(t_1 + t_2) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(t$95$3 + t$95$4), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := t\_2 - \sqrt{y}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(t\_3 + \left(t\_4 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(t\_3 + t\_4\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_1 + t\_2\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.9
Applied rewrites15.9%
Taylor expanded in z around inf
Applied rewrites24.2%
Applied rewrites24.0%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6455.4
Applied rewrites55.4%
Taylor expanded in x around 0
Applied rewrites52.6%
Final simplification27.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- t_1 (sqrt y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ t_2 (- t_3 (sqrt x))) (- (sqrt (+ 1.0 z)) (sqrt z)))))
(if (<= t_4 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 2.5)
(- (+ t_2 t_3) (sqrt x))
(+ (+ 1.0 t_1) (- t_3 (+ (sqrt x) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = t_1 - sqrt(y);
double t_3 = sqrt((x + 1.0));
double t_4 = (t_2 + (t_3 - sqrt(x))) + (sqrt((1.0 + z)) - sqrt(z));
double tmp;
if (t_4 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 2.5) {
tmp = (t_2 + t_3) - sqrt(x);
} else {
tmp = (1.0 + t_1) + (t_3 - (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(t_1 - sqrt(y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 + Float64(t_3 - sqrt(x))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) tmp = 0.0 if (t_4 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 2.5) tmp = Float64(Float64(t_2 + t_3) - sqrt(x)); else tmp = Float64(Float64(1.0 + t_1) + Float64(t_3 - Float64(sqrt(x) + sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 2.5], N[(N[(t$95$2 + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + t$95$1), $MachinePrecision] + N[(t$95$3 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := t\_1 - \sqrt{y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_2 + \left(t\_3 - \sqrt{x}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 2.5:\\
\;\;\;\;\left(t\_2 + t\_3\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(1 + t\_1\right) + \left(t\_3 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.5Initial program 96.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.6
Applied rewrites16.6%
Taylor expanded in z around inf
Applied rewrites24.2%
Applied rewrites24.0%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6457.2
Applied rewrites57.2%
Taylor expanded in y around inf
Applied rewrites55.0%
Taylor expanded in z around 0
Applied rewrites55.0%
Final simplification27.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (+ (+ (- t_1 (sqrt y)) t_3) (- (sqrt (+ 1.0 z)) (sqrt z)))))
(if (<= t_4 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 1.0001)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_2) (sqrt x))
(- (+ t_1 t_3) (sqrt y))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = ((t_1 - sqrt(y)) + t_3) + (sqrt((1.0 + z)) - sqrt(z));
double tmp;
if (t_4 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 1.0001) {
tmp = fma(0.5, sqrt((1.0 / y)), t_2) - sqrt(x);
} else {
tmp = (t_1 + t_3) - sqrt(y);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = Float64(Float64(Float64(t_1 - sqrt(y)) + t_3) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) tmp = 0.0 if (t_4 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 1.0001) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_2) - sqrt(x)); else tmp = Float64(Float64(t_1 + t_3) - sqrt(y)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + t$95$3), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \left(\left(t\_1 - \sqrt{y}\right) + t\_3\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_2\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + t\_3\right) - \sqrt{y}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.6
Applied rewrites4.6%
Taylor expanded in z around inf
Applied rewrites25.9%
Taylor expanded in y around inf
Applied rewrites25.9%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6435.5
Applied rewrites35.5%
Taylor expanded in z around inf
Applied rewrites21.9%
Applied rewrites22.5%
Final simplification23.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (+ t_1 (- t_2 (sqrt x))))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_3 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_3 1.0002)
(+ (- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_2) (sqrt x)) t_4)
(+
t_4
(+ (+ t_1 (- 1.0 (sqrt x))) (/ 1.0 (+ (sqrt (+ 1.0 z)) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y)) - sqrt(y);
double t_2 = sqrt((x + 1.0));
double t_3 = t_1 + (t_2 - sqrt(x));
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_3 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_3 <= 1.0002) {
tmp = (fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_2) - sqrt(x)) + t_4;
} else {
tmp = t_4 + ((t_1 + (1.0 - sqrt(x))) + (1.0 / (sqrt((1.0 + z)) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(t_1 + Float64(t_2 - sqrt(x))) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_3 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_3 <= 1.0002) tmp = Float64(Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_2) - sqrt(x)) + t_4); else tmp = Float64(t_4 + Float64(Float64(t_1 + Float64(1.0 - sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(1.0 + z)) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$3, 1.0002], N[(N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(t$95$4 + N[(N[(t$95$1 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y} - \sqrt{y}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_1 + \left(t\_2 - \sqrt{x}\right)\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_3 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_3 \leq 1.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_2\right) - \sqrt{x}\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(\left(t\_1 + \left(1 - \sqrt{x}\right)\right) + \frac{1}{\sqrt{1 + z} + \sqrt{z}}\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 5.00000000000000024e-5Initial program 75.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.9
Applied rewrites4.9%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites12.2%
if 5.00000000000000024e-5 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.0002Initial program 96.3%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.5
Applied rewrites28.5%
Taylor expanded in y around inf
Applied rewrites31.9%
if 1.0002 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 98.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.5
Applied rewrites96.5%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
pow1/2N/A
pow1/2N/A
rem-square-sqrtN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
associate--l+N/A
+-inversesN/A
metadata-evalN/A
Applied rewrites97.6%
Final simplification43.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ x 1.0)))
(t_3
(+
(+ (- t_1 (sqrt y)) (- t_2 (sqrt x)))
(- (sqrt (+ 1.0 z)) (sqrt z)))))
(if (<= t_3 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_3 1.0001)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_2) (sqrt x))
(+ (fma x 0.5 1.0) (- t_1 (+ (sqrt x) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0));
double t_3 = ((t_1 - sqrt(y)) + (t_2 - sqrt(x))) + (sqrt((1.0 + z)) - sqrt(z));
double tmp;
if (t_3 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_3 <= 1.0001) {
tmp = fma(0.5, sqrt((1.0 / y)), t_2) - sqrt(x);
} else {
tmp = fma(x, 0.5, 1.0) + (t_1 - (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(Float64(Float64(t_1 - sqrt(y)) + Float64(t_2 - sqrt(x))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) tmp = 0.0 if (t_3 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_3 <= 1.0001) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_2) - sqrt(x)); else tmp = Float64(fma(x, 0.5, 1.0) + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$3, 1.0001], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(x * 0.5 + 1.0), $MachinePrecision] + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(\left(t\_1 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\\
\mathbf{if}\;t\_3 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_3 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_2\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(x, 0.5, 1\right) + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.6
Applied rewrites4.6%
Taylor expanded in z around inf
Applied rewrites25.9%
Taylor expanded in y around inf
Applied rewrites25.9%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6435.5
Applied rewrites35.5%
Taylor expanded in z around inf
Applied rewrites21.9%
Taylor expanded in x around 0
Applied rewrites22.0%
Final simplification23.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_3 (+ (+ (- t_1 (sqrt y)) t_2) (- (sqrt (+ 1.0 z)) (sqrt z)))))
(if (<= t_3 5e-5)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_3 1.0) t_2 (- (+ 1.0 t_1) (+ (sqrt x) (sqrt y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0)) - sqrt(x);
double t_3 = ((t_1 - sqrt(y)) + t_2) + (sqrt((1.0 + z)) - sqrt(z));
double tmp;
if (t_3 <= 5e-5) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_3 <= 1.0) {
tmp = t_2;
} else {
tmp = (1.0 + t_1) - (sqrt(x) + sqrt(y));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((x + 1.0d0)) - sqrt(x)
t_3 = ((t_1 - sqrt(y)) + t_2) + (sqrt((1.0d0 + z)) - sqrt(z))
if (t_3 <= 5d-5) then
tmp = sqrt((1.0d0 / x)) * 0.5d0
else if (t_3 <= 1.0d0) then
tmp = t_2
else
tmp = (1.0d0 + t_1) - (sqrt(x) + sqrt(y))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((x + 1.0)) - Math.sqrt(x);
double t_3 = ((t_1 - Math.sqrt(y)) + t_2) + (Math.sqrt((1.0 + z)) - Math.sqrt(z));
double tmp;
if (t_3 <= 5e-5) {
tmp = Math.sqrt((1.0 / x)) * 0.5;
} else if (t_3 <= 1.0) {
tmp = t_2;
} else {
tmp = (1.0 + t_1) - (Math.sqrt(x) + Math.sqrt(y));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((x + 1.0)) - math.sqrt(x) t_3 = ((t_1 - math.sqrt(y)) + t_2) + (math.sqrt((1.0 + z)) - math.sqrt(z)) tmp = 0 if t_3 <= 5e-5: tmp = math.sqrt((1.0 / x)) * 0.5 elif t_3 <= 1.0: tmp = t_2 else: tmp = (1.0 + t_1) - (math.sqrt(x) + math.sqrt(y)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_3 = Float64(Float64(Float64(t_1 - sqrt(y)) + t_2) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) tmp = 0.0 if (t_3 <= 5e-5) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_3 <= 1.0) tmp = t_2; else tmp = Float64(Float64(1.0 + t_1) - Float64(sqrt(x) + sqrt(y))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((x + 1.0)) - sqrt(x);
t_3 = ((t_1 - sqrt(y)) + t_2) + (sqrt((1.0 + z)) - sqrt(z));
tmp = 0.0;
if (t_3 <= 5e-5)
tmp = sqrt((1.0 / x)) * 0.5;
elseif (t_3 <= 1.0)
tmp = t_2;
else
tmp = (1.0 + t_1) - (sqrt(x) + sqrt(y));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 5e-5], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$3, 1.0], t$95$2, N[(N[(1.0 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1} - \sqrt{x}\\
t_3 := \left(\left(t\_1 - \sqrt{y}\right) + t\_2\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\\
\mathbf{if}\;t\_3 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_3 \leq 1:\\
\;\;\;\;t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(1 + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 96.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.5
Applied rewrites4.5%
Taylor expanded in z around inf
Applied rewrites26.1%
Taylor expanded in y around inf
Applied rewrites25.5%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6434.0
Applied rewrites34.0%
Taylor expanded in z around inf
Applied rewrites21.9%
Taylor expanded in y around inf
Applied rewrites14.1%
Taylor expanded in x around 0
Applied rewrites16.6%
Final simplification19.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (- t_1 (sqrt x)))
(t_3
(+
(+ (- (sqrt (+ 1.0 y)) (sqrt y)) t_2)
(- (sqrt (+ 1.0 z)) (sqrt z)))))
(if (<= t_3 5e-5)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_3 1.5) t_2 (- (+ 1.0 t_1) (+ (sqrt x) (sqrt y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = t_1 - sqrt(x);
double t_3 = ((sqrt((1.0 + y)) - sqrt(y)) + t_2) + (sqrt((1.0 + z)) - sqrt(z));
double tmp;
if (t_3 <= 5e-5) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_3 <= 1.5) {
tmp = t_2;
} else {
tmp = (1.0 + t_1) - (sqrt(x) + sqrt(y));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = t_1 - sqrt(x)
t_3 = ((sqrt((1.0d0 + y)) - sqrt(y)) + t_2) + (sqrt((1.0d0 + z)) - sqrt(z))
if (t_3 <= 5d-5) then
tmp = sqrt((1.0d0 / x)) * 0.5d0
else if (t_3 <= 1.5d0) then
tmp = t_2
else
tmp = (1.0d0 + t_1) - (sqrt(x) + sqrt(y))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double t_2 = t_1 - Math.sqrt(x);
double t_3 = ((Math.sqrt((1.0 + y)) - Math.sqrt(y)) + t_2) + (Math.sqrt((1.0 + z)) - Math.sqrt(z));
double tmp;
if (t_3 <= 5e-5) {
tmp = Math.sqrt((1.0 / x)) * 0.5;
} else if (t_3 <= 1.5) {
tmp = t_2;
} else {
tmp = (1.0 + t_1) - (Math.sqrt(x) + Math.sqrt(y));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = t_1 - math.sqrt(x) t_3 = ((math.sqrt((1.0 + y)) - math.sqrt(y)) + t_2) + (math.sqrt((1.0 + z)) - math.sqrt(z)) tmp = 0 if t_3 <= 5e-5: tmp = math.sqrt((1.0 / x)) * 0.5 elif t_3 <= 1.5: tmp = t_2 else: tmp = (1.0 + t_1) - (math.sqrt(x) + math.sqrt(y)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = Float64(t_1 - sqrt(x)) t_3 = Float64(Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + t_2) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) tmp = 0.0 if (t_3 <= 5e-5) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_3 <= 1.5) tmp = t_2; else tmp = Float64(Float64(1.0 + t_1) - Float64(sqrt(x) + sqrt(y))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
t_2 = t_1 - sqrt(x);
t_3 = ((sqrt((1.0 + y)) - sqrt(y)) + t_2) + (sqrt((1.0 + z)) - sqrt(z));
tmp = 0.0;
if (t_3 <= 5e-5)
tmp = sqrt((1.0 / x)) * 0.5;
elseif (t_3 <= 1.5)
tmp = t_2;
else
tmp = (1.0 + t_1) - (sqrt(x) + sqrt(y));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 5e-5], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$3, 1.5], t$95$2, N[(N[(1.0 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := t\_1 - \sqrt{x}\\
t_3 := \left(\left(\sqrt{1 + y} - \sqrt{y}\right) + t\_2\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\\
\mathbf{if}\;t\_3 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_3 \leq 1.5:\\
\;\;\;\;t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(1 + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.00000000000000024e-5Initial program 57.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites17.3%
if 5.00000000000000024e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.5Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.6
Applied rewrites4.6%
Taylor expanded in z around inf
Applied rewrites25.7%
Taylor expanded in y around inf
Applied rewrites25.1%
if 1.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6436.0
Applied rewrites36.0%
Taylor expanded in z around inf
Applied rewrites21.9%
Taylor expanded in y around 0
Applied rewrites18.1%
Final simplification20.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_3 (+ (- t_1 (sqrt y)) t_2)))
(if (<= t_3 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_3 1.9999995)
(fma (- (+ 1.0 y) y) (/ 1.0 (+ (sqrt y) t_1)) t_2)
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+
(/ 1.0 (+ (sqrt (+ 1.0 z)) (sqrt z)))
(+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0)) - sqrt(x);
double t_3 = (t_1 - sqrt(y)) + t_2;
double tmp;
if (t_3 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_3 <= 1.9999995) {
tmp = fma(((1.0 + y) - y), (1.0 / (sqrt(y) + t_1)), t_2);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((1.0 / (sqrt((1.0 + z)) + sqrt(z))) + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_3 = Float64(Float64(t_1 - sqrt(y)) + t_2) tmp = 0.0 if (t_3 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_3 <= 1.9999995) tmp = fma(Float64(Float64(1.0 + y) - y), Float64(1.0 / Float64(sqrt(y) + t_1)), t_2); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(1.0 / Float64(sqrt(Float64(1.0 + z)) + sqrt(z))) + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$3, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$3, 1.9999995], N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1} - \sqrt{x}\\
t_3 := \left(t\_1 - \sqrt{y}\right) + t\_2\\
\mathbf{if}\;t\_3 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_3 \leq 1.9999995:\\
\;\;\;\;\mathsf{fma}\left(\left(1 + y\right) - y, \frac{1}{\sqrt{y} + t\_1}, t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\frac{1}{\sqrt{1 + z} + \sqrt{z}} + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 5.00000000000000024e-5Initial program 75.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.9
Applied rewrites4.9%
Taylor expanded in z around inf
Applied rewrites5.3%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites12.2%
if 5.00000000000000024e-5 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.9999994999999999Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6421.1
Applied rewrites21.1%
Taylor expanded in z around inf
Applied rewrites21.8%
Applied rewrites37.4%
if 1.9999994999999999 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 98.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6498.2
Applied rewrites98.2%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
pow1/2N/A
pow1/2N/A
rem-square-sqrtN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
associate--l+N/A
+-inversesN/A
metadata-evalN/A
Applied rewrites99.4%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6499.2
Applied rewrites99.2%
Final simplification46.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ x 1.0)) (sqrt x))))
(if (<= t_1 5e-5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(+
(+
(+ (- (sqrt (+ 1.0 y)) (sqrt y)) t_1)
(/ (- (+ 1.0 z) z) (+ (sqrt (+ 1.0 z)) (sqrt z))))
(/ (- (+ 1.0 t) t) (+ (sqrt (+ 1.0 t)) (sqrt t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0)) - sqrt(x);
double tmp;
if (t_1 <= 5e-5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else {
tmp = (((sqrt((1.0 + y)) - sqrt(y)) + t_1) + (((1.0 + z) - z) / (sqrt((1.0 + z)) + sqrt(z)))) + (((1.0 + t) - t) / (sqrt((1.0 + t)) + sqrt(t)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) tmp = 0.0 if (t_1 <= 5e-5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); else tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + t_1) + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(Float64(1.0 + z)) + sqrt(z)))) + Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(Float64(1.0 + t)) + sqrt(t)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 5e-5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1} - \sqrt{x}\\
\mathbf{if}\;t\_1 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\sqrt{1 + y} - \sqrt{y}\right) + t\_1\right) + \frac{\left(1 + z\right) - z}{\sqrt{1 + z} + \sqrt{z}}\right) + \frac{\left(1 + t\right) - t}{\sqrt{1 + t} + \sqrt{t}}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 5.00000000000000024e-5Initial program 87.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.0
Applied rewrites23.0%
Taylor expanded in z around inf
Applied rewrites4.7%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites9.0%
if 5.00000000000000024e-5 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6498.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.5
Applied rewrites98.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6498.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.7
Applied rewrites98.7%
Final simplification55.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 110000000.0) (- (+ (- (sqrt (+ 1.0 y)) (sqrt y)) (sqrt (+ x 1.0))) (sqrt x)) (/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 110000000.0) {
tmp = ((sqrt((1.0 + y)) - sqrt(y)) + sqrt((x + 1.0))) - sqrt(x);
} else {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 110000000.0) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + sqrt(Float64(x + 1.0))) - sqrt(x)); else tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 110000000.0], N[(N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 110000000:\\
\;\;\;\;\left(\left(\sqrt{1 + y} - \sqrt{y}\right) + \sqrt{x + 1}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\end{array}
\end{array}
if x < 1.1e8Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.6
Applied rewrites18.6%
Taylor expanded in z around inf
Applied rewrites37.6%
Applied rewrites37.7%
if 1.1e8 < x Initial program 87.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.0
Applied rewrites23.0%
Taylor expanded in z around inf
Applied rewrites4.7%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites9.0%
Final simplification23.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 2.3) (+ (fma x 0.5 1.0) (- (sqrt (+ 1.0 y)) (+ (sqrt x) (sqrt y)))) (/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 2.3) {
tmp = fma(x, 0.5, 1.0) + (sqrt((1.0 + y)) - (sqrt(x) + sqrt(y)));
} else {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 2.3) tmp = Float64(fma(x, 0.5, 1.0) + Float64(sqrt(Float64(1.0 + y)) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 2.3], N[(N[(x * 0.5 + 1.0), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 2.3:\\
\;\;\;\;\mathsf{fma}\left(x, 0.5, 1\right) + \left(\sqrt{1 + y} - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\end{array}
\end{array}
if x < 2.2999999999999998Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.7
Applied rewrites18.7%
Taylor expanded in z around inf
Applied rewrites38.1%
Taylor expanded in x around 0
Applied rewrites38.1%
if 2.2999999999999998 < x Initial program 87.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Applied rewrites22.8%
Taylor expanded in z around inf
Applied rewrites5.0%
Taylor expanded in y around inf
Applied rewrites3.7%
Taylor expanded in x around inf
Applied rewrites9.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 2.4) (+ (fma x 0.5 1.0) (- (sqrt (+ 1.0 y)) (+ (sqrt x) (sqrt y)))) (* (sqrt (/ 1.0 x)) 0.5)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 2.4) {
tmp = fma(x, 0.5, 1.0) + (sqrt((1.0 + y)) - (sqrt(x) + sqrt(y)));
} else {
tmp = sqrt((1.0 / x)) * 0.5;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 2.4) tmp = Float64(fma(x, 0.5, 1.0) + Float64(sqrt(Float64(1.0 + y)) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 2.4], N[(N[(x * 0.5 + 1.0), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 2.4:\\
\;\;\;\;\mathsf{fma}\left(x, 0.5, 1\right) + \left(\sqrt{1 + y} - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\end{array}
\end{array}
if x < 2.39999999999999991Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.7
Applied rewrites18.7%
Taylor expanded in z around inf
Applied rewrites38.1%
Taylor expanded in x around 0
Applied rewrites38.1%
if 2.39999999999999991 < x Initial program 87.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Applied rewrites22.8%
Taylor expanded in z around inf
Applied rewrites5.0%
Taylor expanded in y around inf
Applied rewrites3.7%
Taylor expanded in x around inf
Applied rewrites9.1%
Final simplification23.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 7.0) (+ 1.0 (- (fma x 0.5 (sqrt (+ 1.0 y))) (+ (sqrt x) (sqrt y)))) (* (sqrt (/ 1.0 x)) 0.5)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 7.0) {
tmp = 1.0 + (fma(x, 0.5, sqrt((1.0 + y))) - (sqrt(x) + sqrt(y)));
} else {
tmp = sqrt((1.0 / x)) * 0.5;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 7.0) tmp = Float64(1.0 + Float64(fma(x, 0.5, sqrt(Float64(1.0 + y))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 7.0], N[(1.0 + N[(N[(x * 0.5 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 7:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(x, 0.5, \sqrt{1 + y}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\end{array}
\end{array}
if x < 7Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.7
Applied rewrites18.7%
Taylor expanded in z around inf
Applied rewrites38.1%
Taylor expanded in x around 0
Applied rewrites38.1%
if 7 < x Initial program 87.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Applied rewrites22.8%
Taylor expanded in z around inf
Applied rewrites5.0%
Taylor expanded in y around inf
Applied rewrites3.7%
Taylor expanded in x around inf
Applied rewrites9.1%
Final simplification23.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 0.52) (+ (- (sqrt (+ 1.0 y)) (+ (sqrt x) (sqrt y))) 1.0) (* (sqrt (/ 1.0 x)) 0.5)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 0.52) {
tmp = (sqrt((1.0 + y)) - (sqrt(x) + sqrt(y))) + 1.0;
} else {
tmp = sqrt((1.0 / x)) * 0.5;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (x <= 0.52d0) then
tmp = (sqrt((1.0d0 + y)) - (sqrt(x) + sqrt(y))) + 1.0d0
else
tmp = sqrt((1.0d0 / x)) * 0.5d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (x <= 0.52) {
tmp = (Math.sqrt((1.0 + y)) - (Math.sqrt(x) + Math.sqrt(y))) + 1.0;
} else {
tmp = Math.sqrt((1.0 / x)) * 0.5;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if x <= 0.52: tmp = (math.sqrt((1.0 + y)) - (math.sqrt(x) + math.sqrt(y))) + 1.0 else: tmp = math.sqrt((1.0 / x)) * 0.5 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 0.52) tmp = Float64(Float64(sqrt(Float64(1.0 + y)) - Float64(sqrt(x) + sqrt(y))) + 1.0); else tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (x <= 0.52)
tmp = (sqrt((1.0 + y)) - (sqrt(x) + sqrt(y))) + 1.0;
else
tmp = sqrt((1.0 / x)) * 0.5;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 0.52], N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 0.52:\\
\;\;\;\;\left(\sqrt{1 + y} - \left(\sqrt{x} + \sqrt{y}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\end{array}
\end{array}
if x < 0.52000000000000002Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.7
Applied rewrites18.7%
Taylor expanded in z around inf
Applied rewrites38.1%
Taylor expanded in x around 0
Applied rewrites38.1%
if 0.52000000000000002 < x Initial program 87.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Applied rewrites22.8%
Taylor expanded in z around inf
Applied rewrites5.0%
Taylor expanded in y around inf
Applied rewrites3.7%
Taylor expanded in x around inf
Applied rewrites9.1%
Final simplification23.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 63000000.0) (- (sqrt (+ x 1.0)) (sqrt x)) (* (sqrt (/ 1.0 x)) 0.5)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 63000000.0) {
tmp = sqrt((x + 1.0)) - sqrt(x);
} else {
tmp = sqrt((1.0 / x)) * 0.5;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (x <= 63000000.0d0) then
tmp = sqrt((x + 1.0d0)) - sqrt(x)
else
tmp = sqrt((1.0d0 / x)) * 0.5d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (x <= 63000000.0) {
tmp = Math.sqrt((x + 1.0)) - Math.sqrt(x);
} else {
tmp = Math.sqrt((1.0 / x)) * 0.5;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if x <= 63000000.0: tmp = math.sqrt((x + 1.0)) - math.sqrt(x) else: tmp = math.sqrt((1.0 / x)) * 0.5 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 63000000.0) tmp = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)); else tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (x <= 63000000.0)
tmp = sqrt((x + 1.0)) - sqrt(x);
else
tmp = sqrt((1.0 / x)) * 0.5;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 63000000.0], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 63000000:\\
\;\;\;\;\sqrt{x + 1} - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\end{array}
\end{array}
if x < 6.3e7Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.6
Applied rewrites18.6%
Taylor expanded in z around inf
Applied rewrites37.6%
Taylor expanded in y around inf
Applied rewrites29.7%
if 6.3e7 < x Initial program 87.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.0
Applied rewrites23.0%
Taylor expanded in z around inf
Applied rewrites4.7%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites9.0%
Final simplification19.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 0.9) (- (fma x (fma x -0.125 0.5) 1.0) (sqrt x)) (* (sqrt (/ 1.0 x)) 0.5)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 0.9) {
tmp = fma(x, fma(x, -0.125, 0.5), 1.0) - sqrt(x);
} else {
tmp = sqrt((1.0 / x)) * 0.5;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 0.9) tmp = Float64(fma(x, fma(x, -0.125, 0.5), 1.0) - sqrt(x)); else tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 0.9], N[(N[(x * N[(x * -0.125 + 0.5), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 0.9:\\
\;\;\;\;\mathsf{fma}\left(x, \mathsf{fma}\left(x, -0.125, 0.5\right), 1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\end{array}
\end{array}
if x < 0.900000000000000022Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.7
Applied rewrites18.7%
Taylor expanded in z around inf
Applied rewrites38.1%
Taylor expanded in y around inf
Applied rewrites30.0%
Taylor expanded in x around 0
Applied rewrites30.0%
if 0.900000000000000022 < x Initial program 87.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Applied rewrites22.8%
Taylor expanded in z around inf
Applied rewrites5.0%
Taylor expanded in y around inf
Applied rewrites3.7%
Taylor expanded in x around inf
Applied rewrites9.1%
Final simplification19.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (fma x 0.5 1.0) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return fma(x, 0.5, 1.0) - sqrt(x);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(fma(x, 0.5, 1.0) - sqrt(x)) end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(x * 0.5 + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\mathsf{fma}\left(x, 0.5, 1\right) - \sqrt{x}
\end{array}
Initial program 92.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.7
Applied rewrites20.7%
Taylor expanded in z around inf
Applied rewrites21.7%
Taylor expanded in y around inf
Applied rewrites17.0%
Taylor expanded in x around 0
Applied rewrites17.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- 1.0 (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 - sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 - \sqrt{x}
\end{array}
Initial program 92.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.7
Applied rewrites20.7%
Taylor expanded in z around inf
Applied rewrites21.7%
Taylor expanded in y around inf
Applied rewrites17.0%
Taylor expanded in x around 0
Applied rewrites15.8%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024220
(FPCore (x y z t)
:name "Main:z from "
:precision binary64
:alt
(! :herbie-platform default (+ (+ (+ (/ 1 (+ (sqrt (+ x 1)) (sqrt x))) (/ 1 (+ (sqrt (+ y 1)) (sqrt y)))) (/ 1 (+ (sqrt (+ z 1)) (sqrt z)))) (- (sqrt (+ t 1)) (sqrt t))))
(+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))